feat: 50/50 대칭형 레이아웃 적용, 2x2 예제 버튼 그리드 구현, 대시보드 통계 및 텍스트 간소화
Browse files
app.py
CHANGED
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@@ -140,8 +140,6 @@ def get_db_stats() -> Dict[str, Any]:
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"articles": 0,
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"companies": 0,
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"technologies": 0,
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"relationships": 0,
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"companies_list": [],
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"techs_list": [],
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"recent_articles": [],
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}
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@@ -149,7 +147,7 @@ def get_db_stats() -> Dict[str, Any]:
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from src.retrieval.finRetrieval import get_neo4j_driver
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driver = get_neo4j_driver()
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with driver.session() as session:
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-
# 1. 각 노드
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res_articles = session.run("MATCH (a:Article) RETURN count(a) as cnt").single()
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if res_articles:
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stats["articles"] = res_articles["cnt"]
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@@ -162,17 +160,7 @@ def get_db_stats() -> Dict[str, Any]:
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if res_techs:
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stats["technologies"] = res_techs["cnt"]
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-
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if res_edges:
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stats["relationships"] = res_edges["cnt"]
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-
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-
# 2. 기업 및 기술 목록 & 설명 조회 (상위 5개)
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res_comp_list = session.run(
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"MATCH (c:AICompany) "
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"RETURN c.name as name, COALESCE(c.description, '최근 주목받는 AI 핵심 기업') as desc LIMIT 5"
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)
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stats["companies_list"] = [{"name": r["name"], "desc": r["desc"]} for r in res_comp_list]
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res_tech_list = session.run(
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"MATCH (t:AITechnology) "
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"RETURN t.name as name, COALESCE(t.description, 'AI 혁신 기술 인프라') as desc LIMIT 5"
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@@ -196,19 +184,7 @@ def get_db_stats() -> Dict[str, Any]:
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def build_stats_html(stats: Dict[str, Any]) -> str:
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"""조회된 지식 그래프 통계 정보들을 바탕으로 미려하고 컴팩트한 대시보드용 HTML을 생성합니다."""
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# 1. 기
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comp_html: str = ""
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for c in stats.get("companies_list", []):
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comp_html += f"""
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<div class="definition-item">
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<span class="definition-name">🏢 {c['name']}</span>
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<span class="definition-desc">{c['desc']}</span>
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</div>
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"""
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if not comp_html:
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comp_html = '<div style="font-size:10px; color:#94a3b8;">등록된 기업이 없습니다.</div>'
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-
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# 2. 기술 리스트 HTML 생성
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tech_html: str = ""
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for t in stats.get("techs_list", []):
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tech_html += f"""
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@@ -218,9 +194,9 @@ def build_stats_html(stats: Dict[str, Any]) -> str:
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</div>
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"""
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if not tech_html:
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tech_html = '<div style="font-size:
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#
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news_list_html: str = ""
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for a in stats.get("recent_articles", []):
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title = a["title"]
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@@ -234,7 +210,7 @@ def build_stats_html(stats: Dict[str, Any]) -> str:
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</div>
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"""
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if not news_list_html:
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news_list_html = '<div style="font-size:
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node_count = stats['companies'] + stats['technologies']
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@@ -243,10 +219,10 @@ def build_stats_html(stats: Dict[str, Any]) -> str:
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<!-- Ambient background elements for beautiful glass effects -->
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<div class="ambient-glow"></div>
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<div style="font-size:
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📊 <span>FinGraph AI Terminal</span>
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</div>
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<p style="font-size:
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<div class="stats-grid">
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<div class="stat-card">
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@@ -257,25 +233,9 @@ def build_stats_html(stats: Dict[str, Any]) -> str:
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<div class="stat-lbl">🧬 지식 노드</div>
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<div class="stat-val">{node_count}개</div>
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</div>
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<div class="stat-card">
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<div class="stat-lbl">⛓️ 관계 연결</div>
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<div class="stat-val">{stats['relationships']}개</div>
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</div>
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<div class="stat-card">
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<div class="stat-lbl">⚡ 엔진 상태</div>
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<div class="stat-val" style="color: #4d6075; display: flex; align-items: center; justify-content: center; gap: 3px;">
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<span style="width: 6px; height: 6px; background-color: #5b5b7f; border-radius: 50%; display: inline-block; box-shadow: 0 0 6px #5b5b7f;"></span>
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Active
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</div>
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</div>
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</div>
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<div class="section-subtitle">🏢 주요 분석 기업 및 개요</div>
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<div class="definition-list">
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{comp_html}
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</div>
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<div class="section-subtitle">💡
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<div class="definition-list">
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{tech_html}
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</div>
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@@ -330,7 +290,7 @@ body {
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-webkit-backdrop-filter: blur(24px) !important;
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border: 1px solid rgba(196, 195, 236, 0.45) !important;
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border-radius: 12px;
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-
padding:
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box-shadow: 0 4px 12px -2px rgba(88, 89, 125, 0.05) !important;
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font-family: 'Pretendard', -apple-system, BlinkMacSystemFont, sans-serif;
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}
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@@ -344,23 +304,23 @@ body {
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.stats-grid {
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display: grid;
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grid-template-columns: repeat(2, 1fr);
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gap:
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margin-bottom:
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}
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.stat-card {
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background: rgba(255, 255, 255, 0.7);
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border: 1px solid rgba(196, 195, 236, 0.4);
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border-radius:
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padding:
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text-align: center;
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box-shadow: 0 1px 3px rgba(88, 89, 125, 0.02);
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transition: all 0.25s ease-in-out;
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}
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.stat-card:hover {
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transform: translateY(-
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background: rgba(255, 255, 255, 0.9);
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border-color: rgba(91, 91, 127, 0.6);
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box-shadow: 0 4px
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}
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.dark .stat-card {
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background: rgba(30, 41, 59, 0.7);
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@@ -371,38 +331,38 @@ body {
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border-color: rgba(129, 140, 248, 0.5);
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}
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.stat-val {
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font-size:
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font-weight:
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color: #5b5b7f; /* 투명 퍼플 에디션 포인트 색상 */
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margin-top:
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}
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.dark .stat-val {
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color: #c4c3ec;
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}
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.stat-lbl {
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font-size:
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color: #47464e;
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font-weight:
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}
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.dark .stat-lbl {
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color: #94a3b8;
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}
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/* 주요 기
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.definition-list {
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display: flex;
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flex-direction: column;
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gap:
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margin-bottom:
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}
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.definition-item {
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background: rgba(255, 255, 255, 0.
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border: 1px solid rgba(196, 195, 236, 0.
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border-radius:
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padding:
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display: flex;
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flex-direction: column;
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gap:
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box-shadow: 0 1px 2px rgba(88, 89, 125, 0.01);
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transition: all 0.2s ease;
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}
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@@ -419,20 +379,20 @@ body {
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border-color: rgba(129, 140, 248, 0.4);
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}
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.definition-name {
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font-size:
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font-weight: 800;
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color: #5b5b7f; /* 퍼플 포인트 */
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display: flex;
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align-items: center;
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gap:
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}
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.dark .definition-name {
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color: #c4c3ec;
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}
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.definition-desc {
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font-size:
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color: #47464e;
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line-height: 1.
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}
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.dark .definition-desc {
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color: #cbd5e1;
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@@ -440,11 +400,11 @@ body {
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/* 최근 뉴스 타임라인 및 스크롤바 스타일 */
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.news-feed-container {
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max-height:
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overflow-y: auto;
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border: 1px solid rgba(196, 195, 236, 0.35);
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border-radius:
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padding:
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background: rgba(255, 255, 255, 0.5);
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}
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.dark .news-feed-container {
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@@ -467,20 +427,20 @@ body {
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}
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.news-item {
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border-left:
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padding-left:
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margin-bottom:
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position: relative;
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}
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.news-item:last-child {
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margin-bottom: 0;
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}
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.news-title {
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font-size:
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font-weight: 600;
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color: #1b1c1a;
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text-decoration: none;
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line-height: 1.
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display: block;
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white-space: nowrap;
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overflow: hidden;
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@@ -497,19 +457,19 @@ body {
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color: #c4c3ec;
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}
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.news-meta {
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font-size:
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color: #94a3b8;
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margin-top:
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}
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/* 서브타이틀 헤더 스타일 */
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.section-subtitle {
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font-size:
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font-weight:
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color: #1b1c1a;
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margin:
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border-bottom: 1px solid rgba(196, 195, 236, 0.35);
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-
padding-bottom:
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display: flex;
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align-items: center;
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gap: 4px;
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@@ -519,6 +479,49 @@ body {
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border-color: rgba(129, 140, 248, 0.2);
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}
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/* 챗봇 버튼 퍼플 포인트 스타일 (흰색으로 안 보이던 현상 해결) */
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button.primary,
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.primary-btn,
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@@ -583,6 +586,7 @@ interface_kwargs = {
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placeholder="분석하고 싶은 내용을 자연어로 입력해주세요...",
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container=False,
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scale=7,
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),
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"title": "FinGraph — GraphRAG AI Terminal",
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"description": "> 최신 AI 뉴스를 기반으로 구축된 지식 그래프(GraphRAG)에서 답변합니다.",
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@@ -630,14 +634,14 @@ with gr.Blocks(**blocks_kwargs) as demo:
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""")
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with gr.Row():
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-
# 2. 왼쪽 컬럼: 사이드바 (대시보드 및 하단 메뉴)
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with gr.Column(scale=1, min_width=
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stats_data = get_db_stats()
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stats_html = build_stats_html(stats_data)
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gr.HTML(stats_html)
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# 3. 오른쪽 컬럼: 메인 챗봇 에어리어
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with gr.Column(scale=
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# 메인 타이틀 (챗봇 영역 상단 중앙)
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gr.HTML("""
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<div style="text-align: center; padding: 10px 0 20px 0;">
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"articles": 0,
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"companies": 0,
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"technologies": 0,
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"techs_list": [],
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"recent_articles": [],
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}
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from src.retrieval.finRetrieval import get_neo4j_driver
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driver = get_neo4j_driver()
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with driver.session() as session:
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+
# 1. 각 노드별 갯수 조회
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res_articles = session.run("MATCH (a:Article) RETURN count(a) as cnt").single()
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if res_articles:
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stats["articles"] = res_articles["cnt"]
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if res_techs:
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stats["technologies"] = res_techs["cnt"]
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+
# 2. 기술 목록 & 설명 조회 (상위 5개)
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res_tech_list = session.run(
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"MATCH (t:AITechnology) "
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"RETURN t.name as name, COALESCE(t.description, 'AI 혁신 기술 인프라') as desc LIMIT 5"
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def build_stats_html(stats: Dict[str, Any]) -> str:
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"""조회된 지식 그래프 통계 정보들을 바탕으로 미려하고 컴팩트한 대시보드용 HTML을 생성합니다."""
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# 1. 기술 리스트 HTML 생성
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tech_html: str = ""
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for t in stats.get("techs_list", []):
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tech_html += f"""
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</div>
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"""
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if not tech_html:
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tech_html = '<div style="font-size:12px; color:#94a3b8;">등록된 기술이 없습니다.</div>'
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# 2. 최근 기사 리스트 HTML 생성 (최대 3개)
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news_list_html: str = ""
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for a in stats.get("recent_articles", []):
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title = a["title"]
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</div>
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"""
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if not news_list_html:
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news_list_html = '<div style="font-size:12px; color:#94a3b8;">최근 수집된 기사가 없습니다.</div>'
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node_count = stats['companies'] + stats['technologies']
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<!-- Ambient background elements for beautiful glass effects -->
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<div class="ambient-glow"></div>
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<div style="font-size: 16px; font-weight: 850; color: #5b5b7f; margin-bottom: 2px; display: flex; align-items: center; gap: 6px; letter-spacing: -0.02em;">
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📊 <span>FinGraph AI Terminal</span>
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</div>
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<p style="font-size: 11px; color: #47464e; margin-top: -2px; margin-bottom: 12px; font-weight: 500;">GraphRAG 실시간 분석 엔진</p>
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<div class="stats-grid">
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<div class="stat-card">
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<div class="stat-lbl">🧬 지식 노드</div>
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<div class="stat-val">{node_count}개</div>
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| 235 |
</div>
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| 236 |
</div>
|
| 237 |
|
| 238 |
+
<div class="section-subtitle">💡 핵심 AI 기술 사전</div>
|
| 239 |
<div class="definition-list">
|
| 240 |
{tech_html}
|
| 241 |
</div>
|
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|
| 290 |
-webkit-backdrop-filter: blur(24px) !important;
|
| 291 |
border: 1px solid rgba(196, 195, 236, 0.45) !important;
|
| 292 |
border-radius: 12px;
|
| 293 |
+
padding: 16px;
|
| 294 |
box-shadow: 0 4px 12px -2px rgba(88, 89, 125, 0.05) !important;
|
| 295 |
font-family: 'Pretendard', -apple-system, BlinkMacSystemFont, sans-serif;
|
| 296 |
}
|
|
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|
| 304 |
.stats-grid {
|
| 305 |
display: grid;
|
| 306 |
grid-template-columns: repeat(2, 1fr);
|
| 307 |
+
gap: 10px;
|
| 308 |
+
margin-bottom: 15px;
|
| 309 |
}
|
| 310 |
.stat-card {
|
| 311 |
background: rgba(255, 255, 255, 0.7);
|
| 312 |
border: 1px solid rgba(196, 195, 236, 0.4);
|
| 313 |
+
border-radius: 8px;
|
| 314 |
+
padding: 10px;
|
| 315 |
text-align: center;
|
| 316 |
box-shadow: 0 1px 3px rgba(88, 89, 125, 0.02);
|
| 317 |
transition: all 0.25s ease-in-out;
|
| 318 |
}
|
| 319 |
.stat-card:hover {
|
| 320 |
+
transform: translateY(-2px);
|
| 321 |
background: rgba(255, 255, 255, 0.9);
|
| 322 |
border-color: rgba(91, 91, 127, 0.6);
|
| 323 |
+
box-shadow: 0 4px 12px -2px rgba(88, 89, 125, 0.1);
|
| 324 |
}
|
| 325 |
.dark .stat-card {
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| 326 |
background: rgba(30, 41, 59, 0.7);
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|
| 331 |
border-color: rgba(129, 140, 248, 0.5);
|
| 332 |
}
|
| 333 |
.stat-val {
|
| 334 |
+
font-size: 16px !important;
|
| 335 |
+
font-weight: 850 !important;
|
| 336 |
color: #5b5b7f; /* 투명 퍼플 에디션 포인트 색상 */
|
| 337 |
+
margin-top: 2px;
|
| 338 |
}
|
| 339 |
.dark .stat-val {
|
| 340 |
color: #c4c3ec;
|
| 341 |
}
|
| 342 |
.stat-lbl {
|
| 343 |
+
font-size: 11px !important;
|
| 344 |
color: #47464e;
|
| 345 |
+
font-weight: 600;
|
| 346 |
}
|
| 347 |
.dark .stat-lbl {
|
| 348 |
color: #94a3b8;
|
| 349 |
}
|
| 350 |
|
| 351 |
+
/* 주요 기술 정의 리스트 글래스모피즘 스타일 */
|
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.definition-list {
|
| 353 |
display: flex;
|
| 354 |
flex-direction: column;
|
| 355 |
+
gap: 6px;
|
| 356 |
+
margin-bottom: 12px;
|
| 357 |
}
|
| 358 |
.definition-item {
|
| 359 |
+
background: rgba(255, 255, 255, 0.55);
|
| 360 |
+
border: 1px solid rgba(196, 195, 236, 0.35);
|
| 361 |
+
border-radius: 6px;
|
| 362 |
+
padding: 8px 10px;
|
| 363 |
display: flex;
|
| 364 |
flex-direction: column;
|
| 365 |
+
gap: 2px;
|
| 366 |
box-shadow: 0 1px 2px rgba(88, 89, 125, 0.01);
|
| 367 |
transition: all 0.2s ease;
|
| 368 |
}
|
|
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|
| 379 |
border-color: rgba(129, 140, 248, 0.4);
|
| 380 |
}
|
| 381 |
.definition-name {
|
| 382 |
+
font-size: 13px !important;
|
| 383 |
font-weight: 800;
|
| 384 |
color: #5b5b7f; /* 퍼플 포인트 */
|
| 385 |
display: flex;
|
| 386 |
align-items: center;
|
| 387 |
+
gap: 4px;
|
| 388 |
}
|
| 389 |
.dark .definition-name {
|
| 390 |
color: #c4c3ec;
|
| 391 |
}
|
| 392 |
.definition-desc {
|
| 393 |
+
font-size: 11px !important;
|
| 394 |
color: #47464e;
|
| 395 |
+
line-height: 1.4;
|
| 396 |
}
|
| 397 |
.dark .definition-desc {
|
| 398 |
color: #cbd5e1;
|
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|
| 400 |
|
| 401 |
/* 최근 뉴스 타임라인 및 스크롤바 스타일 */
|
| 402 |
.news-feed-container {
|
| 403 |
+
max-height: 140px;
|
| 404 |
overflow-y: auto;
|
| 405 |
border: 1px solid rgba(196, 195, 236, 0.35);
|
| 406 |
+
border-radius: 6px;
|
| 407 |
+
padding: 8px;
|
| 408 |
background: rgba(255, 255, 255, 0.5);
|
| 409 |
}
|
| 410 |
.dark .news-feed-container {
|
|
|
|
| 427 |
}
|
| 428 |
|
| 429 |
.news-item {
|
| 430 |
+
border-left: 3px solid #5b5b7f; /* 퍼플 포인트 */
|
| 431 |
+
padding-left: 8px;
|
| 432 |
+
margin-bottom: 8px;
|
| 433 |
position: relative;
|
| 434 |
}
|
| 435 |
.news-item:last-child {
|
| 436 |
margin-bottom: 0;
|
| 437 |
}
|
| 438 |
.news-title {
|
| 439 |
+
font-size: 12px !important;
|
| 440 |
font-weight: 600;
|
| 441 |
color: #1b1c1a;
|
| 442 |
text-decoration: none;
|
| 443 |
+
line-height: 1.4;
|
| 444 |
display: block;
|
| 445 |
white-space: nowrap;
|
| 446 |
overflow: hidden;
|
|
|
|
| 457 |
color: #c4c3ec;
|
| 458 |
}
|
| 459 |
.news-meta {
|
| 460 |
+
font-size: 10px !important;
|
| 461 |
color: #94a3b8;
|
| 462 |
+
margin-top: 2px;
|
| 463 |
}
|
| 464 |
|
| 465 |
/* 서브타이틀 헤더 스타일 */
|
| 466 |
.section-subtitle {
|
| 467 |
+
font-size: 13px !important;
|
| 468 |
+
font-weight: 750;
|
| 469 |
color: #1b1c1a;
|
| 470 |
+
margin: 15px 0 6px 0;
|
| 471 |
border-bottom: 1px solid rgba(196, 195, 236, 0.35);
|
| 472 |
+
padding-bottom: 4px;
|
| 473 |
display: flex;
|
| 474 |
align-items: center;
|
| 475 |
gap: 4px;
|
|
|
|
| 479 |
border-color: rgba(129, 140, 248, 0.2);
|
| 480 |
}
|
| 481 |
|
| 482 |
+
/* 2x2 grid layout for chatbot example buttons (Stitch Action Grid style) */
|
| 483 |
+
[class*="examples"], .gr-samples-wrapper, .examples-container {
|
| 484 |
+
display: grid !important;
|
| 485 |
+
grid-template-columns: repeat(2, 1fr) !important;
|
| 486 |
+
gap: 10px !important;
|
| 487 |
+
margin-top: 15px !important;
|
| 488 |
+
margin-bottom: 15px !important;
|
| 489 |
+
background: transparent !important;
|
| 490 |
+
border: none !important;
|
| 491 |
+
}
|
| 492 |
+
[class*="examples"] button {
|
| 493 |
+
text-align: left !important;
|
| 494 |
+
padding: 14px 18px !important;
|
| 495 |
+
background: rgba(255, 255, 255, 0.75) !important;
|
| 496 |
+
border: 1px solid rgba(196, 195, 236, 0.5) !important;
|
| 497 |
+
border-radius: 8px !important;
|
| 498 |
+
font-size: 12px !important;
|
| 499 |
+
font-weight: 600 !important;
|
| 500 |
+
color: #47464e !important;
|
| 501 |
+
line-height: 1.4 !important;
|
| 502 |
+
box-shadow: 0 2px 5px rgba(88, 89, 125, 0.03) !important;
|
| 503 |
+
transition: all 0.2s cubic-bezier(0.4, 0, 0.2, 1) !important;
|
| 504 |
+
white-space: normal !important;
|
| 505 |
+
height: auto !important;
|
| 506 |
+
min-height: 54px !important;
|
| 507 |
+
cursor: pointer !important;
|
| 508 |
+
}
|
| 509 |
+
.dark [class*="examples"] button {
|
| 510 |
+
background: rgba(30, 41, 59, 0.75) !important;
|
| 511 |
+
border-color: rgba(129, 140, 248, 0.25) !important;
|
| 512 |
+
color: #cbd5e1 !important;
|
| 513 |
+
}
|
| 514 |
+
[class*="examples"] button:hover {
|
| 515 |
+
transform: translateY(-2px) !important;
|
| 516 |
+
background: rgba(255, 255, 255, 0.95) !important;
|
| 517 |
+
border-color: #5b5b7f !important;
|
| 518 |
+
box-shadow: 0 6px 12px rgba(91, 91, 127, 0.15) !important;
|
| 519 |
+
}
|
| 520 |
+
.dark [class*="examples"] button:hover {
|
| 521 |
+
background: rgba(30, 41, 59, 0.95) !important;
|
| 522 |
+
border-color: rgba(129, 140, 248, 0.6) !important;
|
| 523 |
+
}
|
| 524 |
+
|
| 525 |
/* 챗봇 버튼 퍼플 포인트 스타일 (흰색으로 안 보이던 현상 해결) */
|
| 526 |
button.primary,
|
| 527 |
.primary-btn,
|
|
|
|
| 586 |
placeholder="분석하고 싶은 내용을 자연어로 입력해주세요...",
|
| 587 |
container=False,
|
| 588 |
scale=7,
|
| 589 |
+
submit_btn="전송 📤",
|
| 590 |
),
|
| 591 |
"title": "FinGraph — GraphRAG AI Terminal",
|
| 592 |
"description": "> 최신 AI 뉴스를 기반으로 구축된 지식 그래프(GraphRAG)에서 답변합니다.",
|
|
|
|
| 634 |
""")
|
| 635 |
|
| 636 |
with gr.Row():
|
| 637 |
+
# 2. 왼쪽 컬럼: 사이드바 (대시보드 및 하단 메뉴) - 반반 (50/50) split을 위해 scale=1 설정
|
| 638 |
+
with gr.Column(scale=1, min_width=450):
|
| 639 |
stats_data = get_db_stats()
|
| 640 |
stats_html = build_stats_html(stats_data)
|
| 641 |
gr.HTML(stats_html)
|
| 642 |
|
| 643 |
+
# 3. 오른쪽 컬럼: 메인 챗봇 에어리어 - 반반 (50/50) split을 위해 scale=1 설정
|
| 644 |
+
with gr.Column(scale=1, min_width=450):
|
| 645 |
# 메인 타이틀 (챗봇 영역 상단 중앙)
|
| 646 |
gr.HTML("""
|
| 647 |
<div style="text-align: center; padding: 10px 0 20px 0;">
|